Um ambiente de visualização para apoio à compreensão de programas MATLAB e Octave baseado no Knowledge Discovery Metamodel (KDM)

Abstract

Visualization Environments are tools that use visual resources to support the under-standing of a set of data in a particular domain. These visual resources are grouped into representations called Visual Metaphors. The area of computing responsible for studying these techniques is called Information Visualization. It is common to find in the literature reports on the use of this type of tool and technique to support the understanding of the source codes of computer programs. This activity is a specialization of Information Visualization called Software Visualization. There are already many studies on Software Visualization as a tool to support analysis and understanding of programs developed in Java and other languages better known and used in the world of computing. However there is’nt many studies in this area over programs developed in the languages MATLAB and Octave. Although these languages are less well-known, they are very important in engineer-ing and mathematics areas, as these languages provide a rich and accessible environment for creating data views using graph objects. This dissertation proposes a web visualization tool to support the understanding of MATLAB and Octave programs through the use of a metamodel proposed for the software reengineering area, called Knowledge Discovery Metamodel (KDM). This metamodel is capable of storing all the elements contained in the source codes of applications and their respective relationships.